Implementation of Open-Source AI to Create a Biometric Door Lock with a Raspberry PI (#2394)

Authors

Marzak, Adam

De La Rosa Balley, Jean

Abstract

This research is meant to be an additional security measure and high-end bat convenience. This technology can be particularly beneficial in smart homes, offices, high-security areas, and even college campuses, offering a personalized and efficient access solution. This project aims to create and present a working prototype of a biometric door lock. In the new digital era, where technology is always expanding, we decided to research something in the realm of security. The security of your everyday phone has a face ID that is required to unlock it. That is the same security feature we are researching and developing for a life-sized door. A facial recognition system was developed using a camera module and an artificial intelligence algorithm integrated with a Raspberry Pi. The Raspberry Pi sends a signal to the solenoid door lock to open the latch once a stored face is recognized by the camera module. The final implementation is to have a digital display on the door to respond once the camera recognizes a person. Something along the lines of “Welcome, Student, Error Try Again.” The facial recognition door lock offers both enhanced security and user convenience, outperforming the traditional method of using keys and pin pads as the only method of security. Future improvements in AI algorithms could further enhance system accuracy and adaptability, marking a significant step towards more secure biometric access control systems. The following paper outlines the design, build, and programming of an open-source biometric door lock.